Text Message Intervention Designs to Promote Adherence to Antiretroviral Therapy (ART): A Meta-Analysis of Randomized Controlled Trials
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{"title"=>"Text message intervention designs to promote adherence to antiretroviral therapy (ART): A meta-analysis of randomized controlled trials", "type"=>"journal", "authors"=>[{"first_name"=>"David J.", "last_name"=>"Finitsis", "scopus_author_id"=>"55553375700"}, {"first_name"=>"Jennifer A.", "last_name"=>"Pellowski", "scopus_author_id"=>"36970116900"}, {"first_name"=>"Blair T.", "last_name"=>"Johnson", "scopus_author_id"=>"7404747984"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84895550412", "sgr"=>"84895550412", "pui"=>"372535169", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"24505411", "doi"=>"10.1371/journal.pone.0088166"}, "id"=>"41d76116-9252-3077-bd94-ee6fc8fced08", "abstract"=>"BACKGROUND: The efficacy of antiretroviral therapy depends on patient adherence to a daily medication regimen, yet many patients fail to adhere at high enough rates to maintain health and reduce the risk of transmitting HIV. Given the explosive global growth of cellular-mobile phone use, text-messaging interventions to promote adherence are especially appropriate. This meta-analysis synthesized available text messaging interventions to promote antiretroviral therapy adherence in people living with HIV.\\nMETHODS: We performed Boolean searches of electronic databases, hand searches of recent year conference abstracts and reverse searches. Included studies (1) targeted antiretroviral therapy adherence in a sample of people living with HIV, (2) used a randomized-controlled trial design to examine a text messaging intervention, and (3) reported at least one adherence measurement or clinical outcome.\\nRESULTS: Eight studies, including 9 interventions, met inclusion criteria. Text-messaging interventions yielded significantly higher adherence than control conditions (OR = 1.39; 95% CI = 1.18, 1.64). Sensitivity analyses of intervention characteristics suggested that studies had larger effects when interventions (1) were sent less frequently than daily, (2) supported bidirectional communication, (3) included personalized message content, and (4) were matched to participants' antiretroviral therapy dosing schedule. Interventions were also associated with improved viral load and/or CD4+ count (k = 3; OR = 1.56; 95% CI = 1.11, 2.20).\\nCONCLUSIONS: Text-messaging can support antiretroviral therapy adherence. Researchers should consider the adoption of less frequent messaging interventions with content and timing that is individually tailored and designed to evoke a reply from the recipient. Future research is needed in order to determine how best to optimize efficacy.", "link"=>"http://www.mendeley.com/research/text-message-intervention-designs-promote-adherence-antiretroviral-therapy-art-metaanalysis-randomiz-1", "reader_count"=>135, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>8, "Librarian"=>1, "Researcher"=>33, "Student > Doctoral Student"=>12, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>5, "Other"=>5, "Student > Master"=>21, "Student > Bachelor"=>15, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>8, "Librarian"=>1, "Researcher"=>33, "Student > Doctoral Student"=>12, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>5, "Other"=>5, "Student > Master"=>21, "Student > Bachelor"=>15, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>4, "Business, Management and Accounting"=>2, "Computer Science"=>4, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>3, "Engineering"=>2, "Environmental Science"=>1, "Nursing and Health Professions"=>11, "Mathematics"=>1, "Medicine and Dentistry"=>54, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>1, "Psychology"=>11, "Social Sciences"=>24}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>54}, "Social Sciences"=>{"Social Sciences"=>24}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>11}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>4}, "Engineering"=>{"Engineering"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>11}}, "reader_count_by_country"=>{"Sweden"=>1, "Argentina"=>1, "United States"=>4, "United Kingdom"=>2}, "group_count"=>12}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1376736"], "description"=>"<p>Literature search results.</p>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology"], "article_id"=>926568, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088166.g001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Literature_search_results_/926568", "title"=>"Literature search results.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-05 02:45:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376737"], "description"=>"<p>Forest plot of weighted mean effect size by study with aggregate mean effect size.</p>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology", "weighted", "aggregate"], "article_id"=>926569, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088166.g002", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Forest_plot_of_weighted_mean_effect_size_by_study_with_aggregate_mean_effect_size_/926569", "title"=>"Forest plot of weighted mean effect size by study with aggregate mean effect size.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-05 02:45:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376738"], "description"=>"<p><i>Note.</i> Odds ratios (OR) gauge the success of the interventions at increasing adherence as represented by its average across available measures for each study, where larger values indicate better success. Each moderator listed was evaluated individually without controlling for other listed moderators; that is, analyses are bivariate.</p>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology", "sizes", "randomized", "controlled"], "article_id"=>926570, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088166.t003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_effect_sizes_by_Intervention_Characteristics_of_Randomized_Controlled_Trials_/926570", "title"=>"Mean effect sizes by Intervention Characteristics of Randomized Controlled Trials.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:45:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376739"], "description"=>"<p><i>Note.</i> Mean effect sizes (OR) greater than 1 indicate improvement in the outcome of interest relative to the control arm. <i>k</i> = number of interventions.</p>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology", "sizes"], "article_id"=>926571, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088166.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_effect_sizes_by_measurement_method_/926571", "title"=>"Mean effect sizes by measurement method.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:45:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376740"], "description"=>"<p><i>Note.</i> SR = self-report questionnaire; PC = pill count; EDM = electronic drug monitoring; PR = pharmacy records; VL = viral load; CD4+ = T-cell count; NR = not reported. <sup>a</sup>Averaged when there is more than one measure of adherence. <sup>b</sup> methodological quality sub-scales (range): RB =  reporting bias (0–11); EV =  external validity (0–3); MB =  measurement bias (0–7); SB =  sampling bias (0–6); PW =  power (0–5). <sup>c</sup> CD4+ at baseline and 3 months only.</p>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology", "included"], "article_id"=>926572, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088166.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_included_studies_/926572", "title"=>"Characteristics of included studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:45:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376741", "https://ndownloader.figshare.com/files/1376742", "https://ndownloader.figshare.com/files/1376743", "https://ndownloader.figshare.com/files/1376744"], "description"=>"<div><p>Background</p><p>The efficacy of antiretroviral therapy depends on patient adherence to a daily medication regimen, yet many patients fail to adhere at high enough rates to maintain health and reduce the risk of transmitting HIV. Given the explosive global growth of cellular-mobile phone use, text-messaging interventions to promote adherence are especially appropriate. This meta-analysis synthesized available text messaging interventions to promote antiretroviral therapy adherence in people living with HIV.</p><p>Methods</p><p>We performed Boolean searches of electronic databases, hand searches of recent year conference abstracts and reverse searches. Included studies (1) targeted antiretroviral therapy adherence in a sample of people living with HIV, (2) used a randomized-controlled trial design to examine a text messaging intervention, and (3) reported at least one adherence measurement or clinical outcome.</p><p>Results</p><p>Eight studies, including 9 interventions, met inclusion criteria. Text-messaging interventions yielded significantly higher adherence than control conditions (OR = 1.39; 95% <i>CI</i> = 1.18, 1.64). Sensitivity analyses of intervention characteristics suggested that studies had larger effects when interventions (1) were sent less frequently than daily, (2) supported bidirectional communication, (3) included personalized message content, and (4) were matched to participants’ antiretroviral therapy dosing schedule. Interventions were also associated with improved viral load and/or CD4+ count (<i>k</i> = 3; OR = 1.56; 95% <i>CI</i> = 1.11, 2.20).</p><p>Conclusions</p><p>Text-messaging can support antiretroviral therapy adherence. Researchers should consider the adoption of less frequent messaging interventions with content and timing that is individually tailored and designed to evoke a reply from the recipient. Future research is needed in order to determine how best to optimize efficacy.</p></div>", "links"=>[], "tags"=>["Global health", "Infectious diseases", "Viral diseases", "hiv", "HIV prevention", "Non-clinical medicine", "Medical communication", "Public health", "Behavioral and social aspects of health", "psychology", "designs", "adherence", "antiretroviral", "meta-analysis", "randomized", "controlled"], "article_id"=>926573, "categories"=>["Medicine", "Sociology"], "users"=>["David J. Finitsis", "Jennifer A. Pellowski", "Blair T. Johnson"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0088166.s001", "https://dx.doi.org/10.1371/journal.pone.0088166.s002", "https://dx.doi.org/10.1371/journal.pone.0088166.s003", "https://dx.doi.org/10.1371/journal.pone.0088166.s004"], "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Text_Message_Intervention_Designs_to_Promote_Adherence_to_Antiretroviral_Therapy_ART_A_Meta_Analysis_of_Randomized_Controlled_Trials_/926573", "title"=>"Text Message Intervention Designs to Promote Adherence to Antiretroviral Therapy (ART): A Meta-Analysis of Randomized Controlled Trials", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-02-05 02:45:35"}

PMC Usage Stats | Further Information

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Relative Metric

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